Artificial Intelligence (AI) promises to solve challenges both in the private and public sector. In industry, for example, future accountants and marketeers will share their day-to-day tasks with AI bots. In the public sector, AI could help governments to act more quickly in crisis situations or anticipate …

This paper reports about preparatory work for future standardization that is carried out through an EU coordination and support action titled IM-SAFE. It focuses on applied digital technologies for monitoring and safety, including predictive maintenance of bridges and tunnels. Amidst the improved affordability …

Poster KIM voor de ECR is nu online te zien via EPOS: https://epos.myesr.org/poster/esr/ecr2022/C-16092 posternummer: C-16092, ECR 2022 Purpose Artificial Intelligence (AI) has developed at high speed the last few years and will substantially change various disciplines (1,2). These changes are also …

Although ISO25000 claimed in 2011 that “the characteristics defined … are relevant to all software products and computer systems”, by now ISO is working on an specific SQuaRE version for AI systems. While waiting for that update I took (grey) literature on quality of AI systems as a starting point to …

The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical …

uitleg over werking 5G en toepassing van edge computing voor realtime beslissinge met AI

Handboek voor MKB-ers die de eerste stappen willen zetten in het innoveren met AI. Ondernemers zien natuurlijk kansen in de ontwikkeling van nieuwe producten en/of diensten, ondersteund door AI (Artificial Intelligence). Want data blijkt immers ‘het nieuwe goud’ te zijn! Maar hoe doe je dat dan? Waar …

Guest lecture by Marcus Borg from RISE institute

From diagnosis to patient scheduling, AI is increasingly being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, …

Recently, the job market for Artificial Intelligence (AI) engineers has exploded. Since the role of AI engineer is relatively new, limited research has been done on the requirements as set by the industry. Moreover, the definition of an AI engineer is less established than for a data scientist or a software …